Skip to main content
Kent Academic Repository

Human presence and motion detection through electrostatic sensing

Wang, Lijuan, Yan, Yong, Chen, Chih-Yen, Alessi, Enrico, Gubellini, Luca, Fabio, Passaniti (2024) Human presence and motion detection through electrostatic sensing. In: IMEKO 2024 XXIV World Congress. . (In press) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:106869)

PDF Author's Accepted Manuscript
Language: English

Restricted to Repository staff only
Contact us about this Publication
[thumbnail of 596-Fullpaper.pdf]

Abstract

Human motion detection is essential in a wide range of applications. In view of the advantages of non-contact sensing, high sensitivity, fast response, simple installation and low cost, electrostatic sensors in different sizes and arrangements have been developed for human motion detection recently. This paper evaluates for the first time the performance of electrostatic sensors for human presence and motion detection. Experimental tests were conducted to obtain and analyse sensor signals of typical walking and stepping motions. The effects of sensor location, ambient conditions and the subject under test on the sensor output are quantified through systematic experimental testing.

Item Type: Conference or workshop item (Paper)
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA165 Engineering instruments, meters etc. Industrial instrumentation
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Lijuan Wang
Date Deposited: 13 Aug 2024 12:12 UTC
Last Modified: 11 Sep 2024 16:44 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/106869 (The current URI for this page, for reference purposes)

University of Kent Author Information

  • Depositors only (login required):

Total unique views for this document in KAR since July 2020. For more details click on the image.